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Insights into the Comparative Evaluation of Lightweight Data Compression Algorithms.

, , , and . EDBT, page 562-565. OpenProceedings.org, (2017)

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MorphStore - In-Memory Query Processing based on Morphing Compressed Intermediates LIVE., , , , , , and . SIGMOD Conference, page 1917-1920. ACM, (2019)Polymorphic Compressed Replication of Columnar Data in Scale-Up Hybrid Memory Systems., , , and . SYSTOR, page 98-110. ACM, (2020)Optimierung der Anfrageverarbeitung mittels Kompression der Zwischenergebnisse., , and . BTW, volume P-241 of LNI, page 259-278. GI, (2015)Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores., , , , , , and . CIDR, www.cidrdb.org, (2020)Integer Compression in NVRAM-centric Data Stores: Comparative Experimental Analysis to DRAM., , , , , and . DaMoN, page 11:1-11:11. ACM, (2019)MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model., , , , , and . Proc. VLDB Endow., 13 (11): 2396-2410 (2020)From a Comprehensive Experimental Survey to a Cost-based Selection Strategy for Lightweight Integer Compression Algorithms., , , , and . ACM Trans. Database Syst., 44 (3): 9:1-9:46 (2019)DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines., , , , , , , , , and 32 other author(s). CIDR, www.cidrdb.org, (2022)Query Processing Based on Compressed Intermediates.. PhD@VLDB, volume 1882 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Evaluating the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for In-Memory Database Systems., , , , and . Datenbank-Spektrum, 19 (3): 183-197 (2019)